iPhone 15 Pro Max
Geekbench AI Score
3957
Single Precision Score
25135
Half Precision Score
35316
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | November 02 2024 09:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.7 IPS |
|
|
Image Classification (HP)
|
100% |
11074
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15233
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15567
252.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20928
339.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8078
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
106397
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203963
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
13898
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19144
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
34396
408.7 IPS |
|
|
Face Detection (Q)
|
100% |
50784
603.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7130
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78192
602.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128873
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21264
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202189
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
246807
318.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4940
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34182
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57282
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (Q)
|
93% |
3007
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3089
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6102
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8716
150.6 IPS |
